Senior Machine Learning Engineer
工程师弗雷德·卢迪写代码，为他的同事菲利斯自动化了一个无聊的任务。她哭了喜悦的眼。那一刻激励弗雷德建立一个公司可以让每个人都从忙碌的工作中解放出来，以便他们能够专注于有意义的工作。今天，ServiceNow 是企业重塑的人工智能控制塔。我们的 ServiceNow AI 平台将任何 AI,任何数据和工作流程都聚集在一起，帮助85%的富士顿500®公司更聪明，快速和更好地工作。我们正在建设一种人工智能原生文化，技术和人才无法停止一起工作。我们刚刚开始。加入我们来为人们提供人工智能服务。机器学习开发人员设计，构建，运营应用程序的核心行为是基于模型而不是明确作者。开发者构建了 ServiceNow 优化产品背后的引擎算法和管道，这些系统将复杂的规划和资源分配问题转化为快速可靠的客户结果。工作正在发展"AI 驱动"曾经意味着在优化问题上应用 ML 技术，现在也意味着使用人工智能代理作为构建过程的一部分。这一角色期望：开发人员可以从零开始设计一个高效的算法，并且能够精确地指定问题，以便指导 AI 代理实施部分，然后验证结果是正确的。开发者拥有什么船只的准确性，性能和强度，无论是人类还是代理人写了它。你需要做的是：· 构建优化应用程序。在规模生产中设计，构建和运行基于先进的优化模型的应用程序。包括 API 设计，数据摄入，多处理，可观察性，先进的算法开发，绩效基准测试和自动测试。· 构造自动评估和测试模式行为。设计和运行支持开发并可靠地提供功能的评估系统。· 精确地指定直接 AI 编码代理。将要求转化为明确范围，限制和接受标准的可测试规格；分解工作成代理规模任务；并审查代理输出是否正确和可维护性。帮助团队使用人工智能来塑造代理的方式。· 自有质量，安全性和生产中的可靠性。管理部署，监控服务可用性，实施警报和响应客户
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It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
The Machine Learning Developer designs, builds, ships, and operates applications whose core behavior is model-driven rather than explicitly authored. The Developer builds the engine behind ServiceNow's optimization products — the algorithms and pipelines that turn sophisticated scheduling and resource-allocation problems into fast, reliable customer outcomes. The work is evolving — where "AI-driven" once meant applying ML techniques to optimization problems, it now also means using AI agents as part of the build process itself. This role expects both: someone who can design an efficient algorithm from scratch, and someone who can specify a problem precisely enough to direct an AI agent to implement part of it, then verify the result is correct. The developer owns the correctness, performance, and robustness of what ships, regardless of whether a human or an agent wrote it.
What you get to do:
· Build Optimization applications. Design, build and operate applications built around advanced optimization models in production at scale. This includes API design, data ingestion, multiprocessing, observability, advanced algorithm development, performance benchmarking, and automated testing.
· Build automated evaluation and test model behaviour. Design and operate the evaluation system that supports development and delivering features with confidence.
· Specify precisely and direct AI coding agents. Convert requirements into testable specifications with explicit scope, constraints, and acceptance criteria; decompose work into agent-sized tasks; and review agent output for correctness and maintainability. Contribute to teams AI-harness helping shape the way agents are leveraged.
· Own quality, safety, and reliability in production. Manage deployments, monitor service availability, implement alerting and respond to customer issues before they even know they have a problem.
· Deliver as a forward deployed engineer. Work closely with customers when the work calls for it. Understanding business requirements and product capabilities to help customers get to value faster and use learnings to influence product roadmap.
· Collaborate across product, design, and engineering. Partner with product managers, designers, conversation designers, and engineers to define success criteria, align on tradeoffs, and communicate capability and risk clearly.
- 5+ years of related experience with a bachelor’s degree in computer science, software engineering, or related technical field. Advanced degrees or certifications (especially in Operations Research) are a bonus.
- Software engineering fundamentals. Strong command of OOP, data structures, algorithms, system design, concurrency, parallelism, APIs, data modeling, and testing.
- Experience with key Technologies: Experience with Python is strongly preferred; experience in Java, JavaScript, Kubernetes, or GraphQL is a bonus.
- Python, MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL
- Forward deployed delivery and stakeholder communication. Comfort working directly with customers under incomplete information and fixed timelines, judgment about when a fast local solution is right and when to hold out for the durable one, and credibility communicating capability, limitation, and risk to non-engineers.
- Experience with mission critical systems. Demonstrated experience developing reliable and resilient systems.
- AI Native Approach. Strong critical thinking and a track record of integrating AI into engineering processes, SDLC, workflows, or decision making.
- Domain expertise. Familiarity with Operations Research, Vehicle Routing Problems, Mathematical Optimization, Field Service Management is a plus but not required
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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